Food, drink and tobacco process operatives

SOC 2020 code 8111

Food, drink and tobacco process operatives set, operate and attend machinery to bake, freeze, heat, crush, mix, blend and otherwise process foodstuffs, beverages and tobacco leaves.

Employees (UK)
147k
Median annual pay
£27,267
Exposure score ?
0.8/10 Minimal direct 0.8 · with tools 0.9
Wage exposure
£321m

Higher exposure than 47% of the 379 UK occupations we scored.

What this score means

Most of this role's work is still genuinely hard for AI to do. Physical presence, bodily skill, high-context judgment, direct human care - the things that don't translate to text.

If you're in this role, here's what to do now

You're not in the firing line today. But the frontier moves. Build enough AI fluency now that you can direct it for the parts of your work that could benefit. People in unexposed roles who understand AI become unusually valuable inside their organisations.

The tasks in this role, ranked by AI exposure

Below are the real tasks O*NET records for this occupation, sorted highest exposure first. "AI can do this" means a language model can already handle the task directly. "AI can help" means an LLM can assist but not replace. "Human work" means today's AI doesn't touch it. Importance is O*NET's 1–5 rating of how central each task is to the role.

2 of 26 tasks in this role are things an AI can already do today. Task list mapped via O*NET "Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders" (51-9041.00).

  1. Record and maintain production data, such as meter readings, and quantities, types, and dimensions of materials produced.

    AI can do thisimportance 4.4/5
  2. Complete work tickets, and place them with products.

    AI can do thisimportance 3.9/5
  3. Adjust machine components to regulate speeds, pressures, and temperatures, and amounts, dimensions, and flow of materials or ingredients.

    Human workimportance 4.5/5
  4. Press control buttons to activate machinery and equipment.

    Human workimportance 4.5/5
  5. Examine, measure, and weigh materials or products to verify conformance to standards, using measuring devices such as templates, micrometers, or scales.

    Human workimportance 4.5/5
  6. Activate machines to shape or form products, such as candy bars, light bulbs, balloons, or insulation panels.

    Human workimportance 4.5/5
  7. Monitor machine operations and observe lights and gauges to detect malfunctions.

    Human workimportance 4.5/5
  8. Clear jams, and remove defective or substandard materials or products.

    Human workimportance 4.4/5
  9. Notify supervisors when extruded filaments fail to meet standards.

    Human workimportance 4.4/5
  10. Select and install machine components, such as dies, molds, and cutters, according to specifications, using hand tools and measuring devices.

    Human workimportance 4.4/5
  11. Review work orders, specifications, or instructions to determine materials, ingredients, procedures, components, settings, and adjustments for extruding, forming, pressing, or compacting machines.

    Human workimportance 4.4/5
  12. Turn controls to adjust machine functions, such as regulating air pressure, creating vacuums, and adjusting coolant flow.

    Human workimportance 4.3/5
  13. Clean dies, arbors, compression chambers, and molds, using swabs, sponges, or air hoses.

    Human workimportance 4.3/5
  14. Send product samples to laboratories for analysis.

    Human workimportance 4.3/5
  15. Synchronize speeds of sections of machines when producing products involving several steps or processes.

    Human workimportance 4.2/5
  16. Couple air and gas lines to machines to maintain plasticity of material and to regulate solidification of final products.

    Human workimportance 4.1/5
  17. Pour, scoop, or dump specified ingredients, metal assemblies, or mixtures into sections of machine prior to starting machines.

    Human workimportance 4.1/5
  18. Measure, mix, cut, shape, soften, and join materials and ingredients, such as powder, cornmeal, or rubber to prepare them for machine processing.

    Human workimportance 4.0/5
  19. Remove materials or products from molds or from extruding, forming, pressing, or compacting machines, and stack or store them for additional processing.

    Human workimportance 4.0/5
  20. Feed products into machines by hand or conveyor.

    Human workimportance 4.0/5
  21. Measure arbors and dies to verify sizes specified on work tickets.

    Human workimportance 4.0/5
  22. Move materials, supplies, components, and finished products between storage and work areas, using work aids such as racks, hoists, and handtrucks.

    Human workimportance 4.0/5
  23. Disassemble equipment to repair it or to replace parts, such as nozzles, punches, and filters.

    Human workimportance 3.9/5
  24. Remove molds, mold components, and feeder tubes from machinery after production is complete.

    Human workimportance 3.9/5
  25. Swab molds with solutions to prevent products from sticking.

    Human workimportance 3.9/5
  26. Install, align, and adjust neck rings, press plungers, and feeder tubes.

    Human workimportance 3.2/5

Where a project with Alex usually starts for this role

This role's strict α score is low because its top tasks are judgment, not drafting. But those same tasks compress dramatically when AI is paired with the right context and tools. The three highest-stakes tasks below are usually where we start.

  1. Adjust machine components to regulate speeds, pressures, and temperatures, and amounts, dimensions, and flow of materials or ingredients.

    O*NET importance 4.5/5 · strict α=0 (judgment-heavy) but compresses with tools

  2. Press control buttons to activate machinery and equipment.

    O*NET importance 4.5/5 · strict α=0 (judgment-heavy) but compresses with tools

  3. Examine, measure, and weigh materials or products to verify conformance to standards, using measuring devices such as templates, micrometers, or scales.

    O*NET importance 4.5/5 · strict α=0 (judgment-heavy) but compresses with tools

Every role has three or four wedges like these. Finding them takes an hour. Turning them into a workflow your team actually uses takes a few days. Talk to Alex about a project →

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Methodology

This role's exposure score comes from Eloundou et al's 2023 GPT task labels, aggregated by O*NET importance within each O*NET-SOC code, then bridged to UK SOC 2020 via ISCO-08 (ONS Vol 2 coding index) and US SOC 2010 (BLS crosswalk). Employment and median pay come from ONS ASHE Table 14.7a, 2025 provisional. ASHE covers employees only, so self-employed workers are not counted.

Methodology · Sources (PDF) · About · Built 23 April 2026

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